Machine Learning Engineer, Physical Ai Systems - Westborough, Ma

Motion Recruitment Partners LLC

Westborough, Northern (MA, KY)

Hybrid

USD 140,000 - 170,000

Full time

3 days ago

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Benefits offered by this job

Annual bonus eligibility

Employee stock purchase program

Paid Time Off (PTO)

401(k) with match

Medical Insurance

Dental Benefits

Vision Benefits

Parental Leave

Life and Disability Insurance

Professional Development Resources

Job summary

Motion Recruitment Partners LLC in Westborough, MA is seeking a Machine Learning Engineer, Physical AI Systems to advance autonomous robotics. You will design, train, and deploy ML models for perception, grasping, and robot control in high-automation fulfillment labs.

The role requires 3+ years in ML/AI/robotics, strong Python, PyTorch or TensorFlow, and experience deploying models to production. On-site collaboration with software, robotics, and hardware teams offers a path to impact-scale

Qualifications

3+ years of industry experience in ML/AI/Robotics/Computer Vision or related field.
Strong programming experience in Python.
Experience deploying ML models into production environments.
Experience with PyTorch or TensorFlow.
Strong understanding of computer vision, object detection, segmentation, and perception systems.
Experience with large-scale datasets and training pipelines.
Familiarity with Linux development environments.
Knowledge of testing, Git, code reviews, and CI/CD practices.
Ability to collaborate with both software and hardware teams.
Bachelor's degree in Computer Science, Robotics, ML, Electrical Engineering or related field.

Responsibilities

Design, train, evaluate, and deploy ML models enabling robots to identify, locate, and manipulate objects.
Develop computer vision systems for identifying boxes, totes, packages, and inventory items.
Build perception models for robotic grasping and movement of objects of varying sizes and weights.
Partner with robotics software engineers to integrate ML models into production systems.
Analyze real-world robot performance data to improve accuracy and efficiency.
Develop training/evaluation pipelines from data collected on deployed platforms.
Optimize ML models for low-latency inference on robotic hardware.
Design experiments to improve manipulation success rates in challenging scenarios.
Validate model performance through lab testing, simulation, and real deployments.
Contribute to next-generation Physical AI systems combining perception, decision-making, and control.

Skills

Python

ML/AI in robotics

Computer vision

Deep learning

PyTorch

TensorFlow

Robotics integration

Linux

Git/CI-CD

Hardware collaboration

Education

Bachelor's in CS/Robotics/ML/EE

Master's or Ph.D. (desired)

Tools

ROS

Job description

Job DescriptionA global leader in advanced robotics and automation is seeking a Machine Learning Engineer, Physical AI Systems to join its robotics engineering organization in Westborough, Massachusetts.

This role focuses on developing machine learning systems that enable autonomous robots to perceive, understand, and interact with the physical world. You will build and deploy AI models that help robotic platforms identify products, determine optimal grasp points, manipulate objects, and transport inventory safely and efficiently throughout highly automated fulfillment environments.

Working at the intersection of machine learning, computer vision, robotics, and large-scale automation, you will collaborate with software engineers, roboticists, and hardware teams to solve real-world challenges involving robotic picking, package handling, object recognition, and autonomous movement. Your work will directly impact the performance of robotic systems responsible for moving millions of items through complex operational environments.

This is a full-time employee (FTE) position based in Westborough, MA, with regular onsite collaboration in robotics development labs and testing facilities.

Required Skills & Experience

3+ years of industry experience in Machine Learning, Artificial Intelligence, Robotics, Computer Vision, or a related technical field
Strong programming experience in Python
Experience developing and deploying machine learning models into production environments
Experience with deep learning frameworks such as PyTorch or TensorFlow
Strong understanding of computer vision, object detection, segmentation, and perception systems
Experience working with large-scale datasets and training pipelines
Familiarity with Linux development environments
Knowledge of software engineering best practices, including testing, Git, code reviews, and CI/CD
Ability to work closely with both software and hardware engineering teams
Bachelor's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related technical discipline

Desired Skills & Experience

Experience with robotics platforms and autonomous systems
Knowledge of ROS or ROS 2
Experience with robotic manipulation, grasp planning, or motion planning
Familiarity with RGB, depth camera, stereo vision, LiDAR, or multimodal sensor systems
Experience deploying machine learning models onto edge devices or robotic hardware
Exposure to reinforcement learning, imitation learning, or behavior modeling
Familiarity with simulation environments such as Isaac Sim, Gazebo, or related robotics tools
Master's degree or Ph.D. in a related field

What You Will Be Doing

Daily Responsibilities

Design, train, evaluate, and deploy machine learning models that enable robots to identify, locate, and manipulate physical objects
Develop computer vision systems that help robots distinguish boxes, totes, packages, and inventory items under varying environmental conditions
Build perception models that determine how robotic arms should approach, grasp, lift, and move objects of different sizes, shapes, and weights
Partner with robotics software engineers to integrate machine learning models into production robotic systems
Analyze real-world robot performance data to improve picking accuracy, handling efficiency, and system reliability
Develop training and evaluation pipelines using data collected from deployed robotic platforms
Optimize machine learning models for low-latency inference on physical robotic hardware
Design experiments to improve robotic manipulation success rates across challenging operational scenarios
Validate model performance through lab testing, simulation, and real-world robotic deployments
Contribute to the development of next-generation Physical AI systems that combine perception, decision-making, and robotic control

The Offer

Full-time employee (FTE) opportunity based in Westborough, MA
Competitive base salary: $140,000 - $170,000
Annual performance bonus eligibility
Employee stock purchase program and equity opportunities
Career advancement within a world-class robotics and machine learning organization
Opportunity to develop cutting-edge Physical AI technologies deployed at massive scale
Collaborative environment focused on innovation, experimentation, and technical excellence

You will receive the following benefits